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<!DOCTYPE html>
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<title>March 18, 2019 - MEMpy</title>
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<meta name="author" content="Brad Montgomery" />
<meta name="keywords" content="meetings" />
<meta name="description" content="Join us for the March 2019 Python User Group meeting. Time & Date Time: 6:30pm - 8:30pm Date: Monday, March 18, 2018 Location We'll be graciously hosted by the FedEx Institute of Technology. Here's a link to a Google Map. Room: FIT 225 (2nd floor) Parking: The Deloach ..." />
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<meta property="og:description" content="Join us for the March 2019 Python User Group meeting. Time & Date Time: 6:30pm - 8:30pm Date: Monday, March 18, 2018 Location We'll be graciously hosted by the FedEx Institute of Technology. Here's a link to a Google Map. Room: FIT 225 (2nd floor) Parking: The Deloach ..."/>
<meta property="article:published_time" content="2019-03-13" />
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March 18, 2019
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<span class="label label-default">Date</span>
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<i class="fa fa-calendar"></i><time datetime="2019-03-13T22:00:00-05:00"> Wed 13 March 2019</time>
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<a href="https://www.mempy.org/author/brad-montgomery.html"><i class="fa fa-user"></i> Brad Montgomery</a>
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<p>Join us for the March 2019 Python User Group meeting.</p>
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<h2>Time & Date</h2>
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<div class="line">Date: Monday, March 18, 2018</div>
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<h2>Location</h2>
<p>We'll be graciously hosted by the
<a class="reference external" href="http://fedex.memphis.edu/">FedEx Institute of Technology</a>.
Here's a link to a <a class="reference external" href="https://goo.gl/RsjTJb">Google Map</a>.</p>
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<li><strong>Room</strong>: FIT 225 (2nd floor)</li>
<li><strong>Parking</strong>: The <a class="reference external" href="https://www.google.com/maps/d/viewer?mid=z7eJgDchpI68.kevkGtJ3KYwo">Deloach Parking Garage</a> is $3/hr, and is right across the street from the FedEx Institute of Technology (FIT). You can also buy a 1-day pass for general parking for $3 -- see <a class="reference external" href="http://www.memphis.edu/parking/permit/visitor.php">visitor parking</a> for more details.</li>
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<h2>Agenda</h2>
<p><strong>Topic: Building Machine Learning Systems that Scale, by Brandon Smith</strong></p>
<p>Python is the most dominant language in the machine learning community for good
reason, yet there are significant challenges to scaling its use across an
organization. Going from working in a Jupyter notebook to training, coordinating,
managing, and serving thousands of models across a complex service requires
significant planning and infrastructure. Companies like Google, Uber, and
Facebook have spent years working on their own proprietary platforms and systems
in order to solve all of the issues that come with scale. In this talk, I'll
tackle the challenges unique to scaling a machine learning organization and how
those challenges are currently being solved by both large companies and small
startups.</p>
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